Dataset generation for MuJoCo environments
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propose changes
Kallinteris-Andreas
changed the title
MuJoCo environments
younik
reviewed
Nov 4, 2024
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| dataset_id=f"mujoco/{dataset_id}", | ||
| algorithm_name="SB3/{algorithm_name}", | ||
| code_permalink="https://github.com/Farama-Foundation/minari-dataset-generation-scripts", | ||
| author="Kallinteris Andreas", | ||
| author_email="[email protected]", | ||
| requirements=[ | ||
| "mujoco==3.2.3", |
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you may want to add a description for each dataset. These are encoded in markdown in the documentation.
For readability, you can create a folder with all the description files .md for each dataset, and here read from the file based on dataset_id
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| h5py==3.12.1 | ||
| huggingface-hub==0.25.2 | ||
| huggingface-sb3==3.0 | ||
| humanize==4.11.0 | ||
| idna==3.10 | ||
| imageio==2.35.1 | ||
| imageio-ffmpeg==0.5.1 | ||
| importlib_resources==6.4.5 | ||
| jax==0.4.34 | ||
| jaxlib==0.4.34 | ||
| Jinja2==3.1.4 | ||
| joblib==1.4.2 | ||
| kiwisolver==1.4.7 | ||
| lazy_loader==0.4 | ||
| lime==0.2.0.1 | ||
| Markdown==3.7 | ||
| markdown-it-py==3.0.0 | ||
| MarkupSafe==3.0.1 | ||
| matplotlib==3.9.2 | ||
| mdurl==0.1.2 | ||
| minari==0.5.1 | ||
| ml_dtypes==0.5.0 | ||
| moviepy==1.0.3 | ||
| mpmath==1.3.0 | ||
| msgpack==1.1.0 | ||
| mujoco==3.2.3 | ||
| mujoco-py==2.1.2.14 | ||
| nest-asyncio==1.6.0 | ||
| networkx==3.4.1 | ||
| numpy==1.26.4 | ||
| nvidia-cublas-cu12==12.1.3.1 | ||
| nvidia-cuda-cupti-cu12==12.1.105 | ||
| nvidia-cuda-nvrtc-cu12==12.1.105 | ||
| nvidia-cuda-runtime-cu12==12.1.105 | ||
| nvidia-cudnn-cu12==9.1.0.70 | ||
| nvidia-cufft-cu12==11.0.2.54 | ||
| nvidia-curand-cu12==10.3.2.106 | ||
| nvidia-cusolver-cu12==11.4.5.107 | ||
| nvidia-cusparse-cu12==12.1.0.106 | ||
| nvidia-nccl-cu12==2.20.5 | ||
| nvidia-nvjitlink-cu12==12.6.77 | ||
| nvidia-nvtx-cu12==12.1.105 | ||
| opencv-python==4.10.0.84 | ||
| opt_einsum==3.4.0 | ||
| optax==0.2.3 | ||
| orbax-checkpoint==0.7.0 | ||
| packaging==24.1 | ||
| pandas==2.2.3 | ||
| pillow==10.4.0 | ||
| platformdirs==4.3.6 | ||
| plotly==5.24.1 | ||
| proglog==0.1.10 | ||
| proto-plus==1.24.0 | ||
| protobuf==5.28.2 | ||
| psutil==6.0.0 | ||
| pyarrow==17.0.0 | ||
| pyasn1==0.6.1 | ||
| pyasn1_modules==0.4.1 | ||
| pycparser==2.22 | ||
| pygame==2.6.1 | ||
| Pygments==2.18.0 | ||
| PyOpenGL==3.1.7 | ||
| pyparsing==3.1.4 | ||
| python-dateutil==2.9.0.post0 | ||
| pytz==2024.2 | ||
| PyYAML==6.0.2 | ||
| reach==4.1.1 | ||
| requests==2.32.3 | ||
| rich==13.9.2 | ||
| rsa==4.9 | ||
| scikit-image==0.24.0 | ||
| scikit-learn==1.5.2 | ||
| scipy==1.14.1 | ||
| sentry-sdk==2.16.0 | ||
| setproctitle==1.3.3 | ||
| setuptools==75.1.0 | ||
| shellingham==1.5.4 | ||
| six==1.16.0 | ||
| smmap==5.0.1 | ||
| stable_baselines3@git+https://github.com/pseudo-rnd-thoughts/stable-baselines3.git@2f6246033cb9111ad0d0df9d9bd98555957e08b5#egg=stable_baselines3 | ||
| swig==4.2.1 | ||
| sympy==1.13.3 | ||
| tenacity==9.0.0 | ||
| tensorboard==2.18.0 | ||
| tensorboard-data-server==0.7.2 | ||
| tensorstore==0.1.66 | ||
| threadpoolctl==3.5.0 | ||
| tifffile==2024.9.20 | ||
| toolz==1.0.0 | ||
| torch==2.4.1 | ||
| tqdm==4.66.5 | ||
| triton==3.0.0 | ||
| typer==0.12.5 | ||
| typing_extensions==4.12.2 | ||
| tzdata==2024.2 | ||
| urllib3==2.2.3 | ||
| wandb==0.18.3 | ||
| wasabi==1.1.3 | ||
| Werkzeug==3.0.4 | ||
| zipp==3.20.2 |
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many deps are not used.
I would rather put here only the libraries that we are importing in the other files. Otherwise, for simplicity, you can just remove this
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I have been burned before for not including a requirments.txt file
There is no downside to include, you are not forced to use it.
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Implements: Farama-Foundation/Minari#243
Does not include generation scripts for HumanoidStandup Because I have not generated good enough agents yet
based on #8
evaluate_policy.pyis to evaluate rodrigodelazcano's policiescreate_dataset.pyshould be self-explanatorytrain.pyif you starting read the file from__main__it is easier to read,wandb: https://wandb.ai/kallinteris/Minari/overview